This repo is intended as a reference page for network embedding literature and code. I will be adding
- links to network embedding papers
- links to implementations of network embedding algorithms
- links to data sets used in network embedding literature
- links to reviews / presentations on network embedding
 The Above figure comes from Chang et all KDD 2015
Last Updated (2/14/17)
| Paper | Year | # of Citations | Weighted | Directed | Typed | Typed Nodes |
|---|---|---|---|---|---|---|
| Distributed Large-scale Natural Graph Factorization | 13 | 29 | ? | ? | ? | ? |
| Translating Embeddings for Modeling Multi-relational Data (TransE) | 13 | 234 | ||||
| DeepWalk: Online Learning of Social Representations | 14 | 158 | ||||
| Combining Two And Three-Way Embeddings Models for Link Prediction in Knowledge Bases (Tatec) | 15 | 7 | ||||
| Holographic Embeddings of Knowledge Graphs (HOLE) | 15 | 10 | ||||
| Diffusion Component Analysis: Unraveling Functional Topology in Biological Networks | 15 | 11 | ||||
| GraRep: Learning Graph Representations with Global Structural Information | 15 | 15 | ||||
| Deep Graph Kernels | 15 | 16 | ||||
| Heterogeneous Network Embedding via Deep Architectures | 15 | 25 | ||||
| PTE: Predictive Text Embedding through Large-scale Heterogeneous Text Networks | 15 | 30 | ||||
| LINE: Large-scale Information Network Embedding | 15 | 90 | ||||
| A General Framework for Content-enhanced Network Representation Learning (CENE) | 16 | 0 | ||||
| Variational Graph Auto-Encoders (VGAE) | 16 | 0 | ||||
| PROSNET: INTEGRATING HOMOLOGY WITH MOLECULAR NETWORKS FOR PROTEIN FUNCTION PREDICTION. | 16 | 0 | ||||
| Large-Scale Embedding Learning in Heterogeneous Event Data (HEBE) | 16 | 0 | ||||
| AFET: Automatic Fine-Grained Entity Typing by Hierarchical Partial-Label Embedding | 16 | 0 | ||||
| Deep Neural Networks for Learning Graph Representations (DNGR) | 16 | 1 | ||||
| subgraph2vec: Learning Distributed Representations of Rooted Sub-graphs from Large Graphs | 16 | 2 | ||||
| Walklets: Multiscale Graph Embeddings for Interpretable Network Classification | 16 | 2 | ||||
| Asymmetric Transitivity Preserving Graph Embedding (HOPE) | 16 | 3 | ||||
| Label Noise Reduction in Entity Typing by Heterogeneous Partial-Label Embedding (PLE) | 16 | 6 | ||||
| Semi-Supervised Classification with Graph Convolutional Networks (GCN) | 16 | 7 | ||||
| Revisiting Semi-Supervised Learning with Graph Embeddings (Planetoid) | 16 | 10 | ||||
| Structural Deep Network Embedding | 16 | 12 | ||||
| node2vec: Scalable Feature Learning for Networks | 16 | 27 |
(In progress) Network diagram of network embedding research papers. Intended to help people grab a quick lay of the network embedding landscape.